Amjad Alkodsi

950 total citations
18 papers, 494 citations indexed

About

Amjad Alkodsi is a scholar working on Cancer Research, Pathology and Forensic Medicine and Molecular Biology. According to data from OpenAlex, Amjad Alkodsi has authored 18 papers receiving a total of 494 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cancer Research, 7 papers in Pathology and Forensic Medicine and 5 papers in Molecular Biology. Recurrent topics in Amjad Alkodsi's work include Cancer Genomics and Diagnostics (10 papers), Lymphoma Diagnosis and Treatment (5 papers) and Genetic factors in colorectal cancer (3 papers). Amjad Alkodsi is often cited by papers focused on Cancer Genomics and Diagnostics (10 papers), Lymphoma Diagnosis and Treatment (5 papers) and Genetic factors in colorectal cancer (3 papers). Amjad Alkodsi collaborates with scholars based in Finland, Sweden and Norway. Amjad Alkodsi's co-authors include Sampsa Hautaniemi, Riku Louhimo, Johan Hartman, Gustav Stålhammar, Jonas Bergh, Una Kjällquist, Rainer Lehtonen, John Lövrot, Sirpa Leppä and Jens Lagergren and has published in prestigious journals such as Journal of Clinical Investigation, Blood and Bioinformatics.

In The Last Decade

Amjad Alkodsi

17 papers receiving 487 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Amjad Alkodsi Finland	12	222	222	206	137	68	18	494
Steve Baylin United States	4	341 1.5×	156 0.7×	148 0.7×	117 0.9×	35 0.5×	4	499
Anna Supernat Poland	14	265 1.2×	197 0.9×	145 0.7×	23 0.2×	44 0.6×	31	485
Carolina Sánchez‐Estévez Spain	10	361 1.6×	132 0.6×	202 1.0×	125 0.9×	167 2.5×	11	661
Anna S. Nam United States	10	274 1.2×	165 0.7×	112 0.5×	35 0.3×	111 1.6×	17	565
Aditi Gulati United Kingdom	7	358 1.6×	67 0.3×	247 1.2×	120 0.9×	38 0.6×	11	464
Anita Sridhar Australia	6	420 1.9×	262 1.2×	218 1.1×	42 0.3×	105 1.5×	6	642
Asha Konde United Kingdom	5	545 2.5×	97 0.4×	463 2.2×	130 0.9×	84 1.2×	8	716
Paul M Wilkerson United Kingdom	14	298 1.3×	273 1.2×	317 1.5×	144 1.1×	39 0.6×	20	676
Deepti P. Wilks United Kingdom	8	303 1.4×	129 0.6×	149 0.7×	27 0.2×	36 0.5×	11	499
Samantha E. Boyle Australia	11	406 1.8×	224 1.0×	156 0.8×	84 0.6×	75 1.1×	11	611

Countries citing papers authored by Amjad Alkodsi

Since Specialization

Citations

This map shows the geographic impact of Amjad Alkodsi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Amjad Alkodsi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amjad Alkodsi more than expected).

Fields of papers citing papers by Amjad Alkodsi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amjad Alkodsi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Amjad Alkodsi. The network helps show where Amjad Alkodsi may publish in the future.

Co-authorship network of co-authors of Amjad Alkodsi

This figure shows the co-authorship network connecting the top 25 collaborators of Amjad Alkodsi. A scholar is included among the top collaborators of Amjad Alkodsi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Amjad Alkodsi. Amjad Alkodsi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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18 of 18 papers shown

Kouvaraki, Maria A., Ioannis Zerdes, Emmanouil G. Sifakis, et al.. (2024). Prognostic and predictive implications of sterile alpha motif and HD domain‐containing protein 1 (SAMHD1) expression in breast cancer. International Journal of Cancer. 156(8). 1621–1633.

Alkodsi, Amjad, et al.. (2022). Lung metastases and subsequent malignant transformation of a fumarate hydratase -deficient uterine leiomyoma. Experimental and Molecular Pathology. 126. 104760–104760. 9 indexed citations

Meriranta, Leo, Amjad Alkodsi, Annika Pasanen, et al.. (2021). Molecular features encoded in the ctDNA reveal heterogeneity and predict outcome in high-risk aggressive B-cell lymphoma. Blood. 139(12). 1863–1877. 71 indexed citations

Häkkinen, Antti, Kaiyang Zhang, Amjad Alkodsi, et al.. (2021). PRISM: recovering cell-type-specific expression profiles from individual composite RNA-seq samples. Bioinformatics. 37(18). 2882–2888. 11 indexed citations

Meriranta, Leo, Annika Pasanen, Amjad Alkodsi, et al.. (2020). Molecular background delineates outcome of double protein expressor diffuse large B-cell lymphoma. Blood Advances. 4(15). 3742–3753. 19 indexed citations

Alkodsi, Amjad, Alejandra Cervera, Kaiyang Zhang, et al.. (2019). Distinct subtypes of diffuse large B-cell lymphoma defined by hypermutated genes. Leukemia. 33(11). 2662–2672. 22 indexed citations

Meriranta, Leo, Amjad Alkodsi, Annika Pasanen, et al.. (2019). Genomic Profiling of Circulating Tumor DNA Reveals Patterns of Response and Refractoriness in Aggressive B-Cell Lymphoma - a Nordic Lymphoma Group Correlative Study. Blood. 134(Supplement_1). 1481–1481. 1 indexed citations

Cervera, Alejandra, Ville Rantanen, Kristian Ovaska, et al.. (2019). Anduril 2: upgraded large-scale data integration framework. Bioinformatics. 35(19). 3815–3817. 17 indexed citations

Häkkinen, Antti, Amjad Alkodsi, Kaiyang Zhang, et al.. (2018). Identifying differentially methylated sites in samples with varying tumor purity. Bioinformatics. 34(18). 3078–3085. 3 indexed citations

10.

Kjällquist, Una, Rikard Erlandsson, Nicholas P. Tobin, et al.. (2018). Exome sequencing of primary breast cancers with paired metastatic lesions reveals metastasis-enriched mutations in the A-kinase anchoring protein family (AKAPs). BMC Cancer. 18(1). 174–174. 20 indexed citations

11.

Alkodsi, Amjad, Una Kjällquist, Gustav Stålhammar, et al.. (2018). Evolutionary history of metastatic breast cancer reveals minimal seeding from axillary lymph nodes. Journal of Clinical Investigation. 128(4). 1355–1370. 108 indexed citations

12.

Tumiati, Manuela, Sakari Hietanen, Johanna Hynninen, et al.. (2018). A Functional Homologous Recombination Assay Predicts Primary Chemotherapy Response and Long-Term Survival in Ovarian Cancer Patients. Clinical Cancer Research. 24(18). 4482–4493. 76 indexed citations

13.

Välimäki, Niko, Annukka Pasanen, Oskari Heikinheimo, et al.. (2018). Genetic predisposition to uterine leiomyoma is determined by loci for genitourinary development and genome stability. eLife. 7. 53 indexed citations

14.

Leivonen, Suvi‐Katri, Amjad Alkodsi, Alejandra Cervera, et al.. (2017). MicroRNAs regulate key cell survival pathways and mediate chemosensitivity during progression of diffuse large B-cell lymphoma. Blood Cancer Journal. 7(12). 654–654. 28 indexed citations

15.

Rantalainen, Mattias, Gustav Stålhammar, John Lövrot, et al.. (2017). Intra-tumor heterogeneity in breast cancer has limited impact on transcriptomic-based molecular profiling. BMC Cancer. 17(1). 802–802. 12 indexed citations

16.

Alkodsi, Amjad, Una Kjällquist, Gustav Stålhammar, et al.. (2017). Abstract P6-01-04: Evolutionary analyses of matched primary and metastatic breast cancer reveal both linear and parallel progression with lack of axillary lymph node involvement. Cancer Research. 77(4_Supplement). P6–1. 1 indexed citations

17.

Kaasinen, Eevi, Amjad Alkodsi, Miika Mehine, et al.. (2016). Abstract 4435: Genome-scale DNA methylation changes delineate uterine leiomyoma subgroups. Cancer Research. 76(14_Supplement). 4435–4435. 1 indexed citations

18.

Alkodsi, Amjad, Riku Louhimo, & Sampsa Hautaniemi. (2014). Comparative analysis of methods for identifying somatic copy number alterations from deep sequencing data. Briefings in Bioinformatics. 16(2). 242–254. 42 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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